From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.

Join the discussion

Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

• Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
• Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! 

Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• The first high-performance self-supervised algorithm that works for speech, vision, and text
• DeepMind says its new AI coding engine is as good as an average human programmer
• Artificial intelligence system rapidly predicts how two proteins will attach
• Seeing Theory

Books

• “The Art of Doing Science and Engineering” by Richard W. Hamming
• “Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht

Something missing or broken? PRs welcome!